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Abdolrahman Peimankar is an Associate Professor at the University of Southern Denmark in the field of Health Informatics Technology. His research interests encompass various domains including Machine Learning, Health Data Science, Deep Learning, Medical AI, Biomedical Signal Processing, Evolutionary Computation, and Anomaly Detection. He is actively involved in the application of advanced computational techniques to address complex challenges in healthcare and biomedical fields. His collaborative work spans multiple countries and showcases a robust network of research contributions. In addition to his research, he serves as a peer reviewer for prominent journals such as IEEE Journal of Biomedical Health Informatics and IEEE Transactions on Automation Science and Engineering. Peimankar's academic contributions reflect a dedication to enhancing healthcare technology through innovative methodologies and interdisciplinary collaboration.
Requirements are standardized for English-taught Master's programs across Science, Engineering, and Social Science departments. Some programs may require a higher GPA for restricted admission.